Calibrating an agent-based model of longitudinal human activity patterns using the Consolidated Human Activity Database.

ABSTRACT: Patterns of human behavior over extended periods of time are important for characterizing human exposure to hazardous chemicals. Because longitudinal behavior patterns for an individual are difficult to obtain, exposure-assessors have characterized such patterns by linking daily records from multiple individuals. In an earlier publication, we developed an alternative strategy that was based on agent-based simulation modeling. Specifically, we created a software program, Agent-Based Model of Human Activity Patterns (ABMHAP), that generates year-long longitudinal behavior patterns. In this paper, we both calibrate and evaluate ABMHAP using human behavior data from the U.S. Environmental Protection Agency's Consolidated Human Activity Database (CHAD). We use the longitudinal data (data on ind

SUBMITTER: Brandon N 

PROVIDER: S-EPMC10436654 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature